Objective: To analyze the epidemiological characteristics and influencing factors of severe fever with thrombocytopenia syndrome (SFTS) in Zhejiang Province from 2019 to 2023, so as to provide the reference for strengthening SFTS prevention and control. Methods: Data on laboratory-confirmed SFTS cases in Zhejiang Province from 2019 to 2023 were collected through the Infectious Disease Reporting Information System of Chinese Disease Prevention and Control Information System. Meteorological data, geographic environment and socioeconomic factors during the same period were collected from the fifth-generation European Centre for Medium-Range Weather Forecasts, Geospatial Data Cloud, and Zhejiang Statistical Yearbook, respectively. Descriptive epidemiological methods were used to analyze the epidemiological characteristics of SFTS from 2019 to 2023, and a Bayesian spatio-temporal model was constructed to analyze the influencing factors of SFTS incidence. Results: A total of 578 SFTS cases were reported in Zhejiang Province from 2019 to 2023, with an annual average incidence of 0.23/105. The peak period was from May to July, accounting for 52.60%. There were 309 males and 269 females, with a male-to-female ratio of 1.15∶1. The cases were mainly aged 50-<80 years, farmers, and in rural areas, accounting for 82.53%, 77.34%, and 75.43%, respectively. Taizhou City and Shaoxing City reported more SFTS cases, while Shaoxing City and Zhoushan City had higher annual average incidences of SFTS. The Bayesian spatio-temporal interaction model showed good goodness of fit. The results showed that mean temperature (RR=1.626, 95%CI: 1.111-2.378) and mean wind speed (RR=1.814, 95%CI: 1.321-2.492) were positively correlated with SFTS risk, while altitude (RR=0.432, 95%CI: 0.230-0.829) and population density (RR=0.443, 95%CI: 0.207-0.964) were negatively correlated with SFTS risk. Conclusions SFTS in Zhejiang Province peaks from May to July. Middle-aged and elderly people and farmers are high-risk populations. Taizhou City, Shaoxing City, and Zhoushan City are high-incidence areas. Mean temperature, mean wind speed, altitude, and population density can all affect the risk of SFTS incidence.

Objective To systematically review the studies on predictive models for delayed graft function (DGF) after kidney transplantation. Methods Databases including China Biology Medicine Database, China National Knowledge Infrastructure, Wanfang Database, VIP Database, PubMed, Web of Science and CINAHL were searched to collect studies on predictive models for DGF after kidney transplantation published from the establishment of each database to June 29, 2025. Two researchers screened the literatures according to the inclusion and exclusion criteria, evaluated the quality of the literatures using the prediction model risk of bias assessment tool (PROBAST), and conducted a meta-analysis of the common predictors of the models using R software. Results A total of 12 literatures were included, involving 14 predictive models with sample sizes ranging from 103 to 24 653 cases. Donor serum creatinine level, cold ischemia time, donor age and donor body mass index were the top four common predictors. All the predictive models were at high risk of bias and low in applicability. The results of meta-analysis showed that abnormal donor body mass index, advanced donor age, prolonged cold ischemia time and elevated donor serum creatinine level were all associated with an increased risk of DGF after transplantation (all P<0.01), but there was high heterogeneity among the studies. Fixed-effect model and random-effect model were used to re-pool the effect sizes separately. The results indicated that the fixed-effect model and random-effect model had good consistency in terms of donor body mass index, donor age and cold ischemia time, while there was a significant difference in the effect sizes of the two models for donor serum creatinine level. Conclusions The predictive models for DGF risk after kidney transplantation have good predictive performance, but the overall risk of bias is high. In the future, large-sample, multicenter and high-quality prospective clinical studies should be carried out to optimize the predictive models, so as to improve their predictive ability and clinical application value.

Spermatogenesis is a highly ordered and spatiotemporally regulated developmental process in the male reproductive system, during which spermatogonial stem cells (SSCs), supported by the seminiferous tubule microenvironment, sequentially undergo mitosis, meiosis, and spermiogenesis to ultimately generate structurally intact spermatozoa. This complex process is accompanied by extensive transcriptional reprogramming, chromatin remodeling, and finely tuned post-transcriptional regulation. Precise control of RNA fate is therefore essential for maintaining the continuity and fidelity of spermatogenesis, and its disruption represents a major molecular basis of male infertility. N⁶-methyladenosine (m⁶A), the most abundant internal RNA modification in eukaryotes, has emerged as a critical regulator of post-transcriptional gene expression. m⁶A methyltransferases (“writers”) catalyze the addition of a methyl group to the N⁶ position of adenosine, m⁶A demethylases (“erasers”) remove the modification, and m⁶A-binding proteins (“readers”) recognize m⁶A-modified transcripts. Through the coordinated actions of these factors, m⁶A regulates transcript fate at multiple levels, including RNA splicing, nuclear export, stability, translation, and decay. Emerging evidence indicates that m⁶A-mediated regulation is essential across multiple stages of spermatogenesis, including SSC self-renewal and differentiation, meiotic progression, maintenance of chromosomal stability, and sperm morphogenesis. Beyond its intrinsic functions in germ cells, m⁶A also contributes to the regulation of the testicular microenvironment. In sertoli cells, m⁶A is involved in maintaining blood-testis barrier integrity, RNA processing, and paracrine signaling, thereby providing structural and metabolic support for germ cell development. In Leydig cells, m⁶A regulates steroidogenesis, particularly testosterone synthesis, and participates in cellular stress responses and metabolic homeostasis. Through these mechanisms, m⁶A indirectly influences spermatogenesis by modulating the functional state of testicular somatic cells, highlighting an integrated regulatory mode that combines cell-intrinsic and microenvironment-mediated effects. Notably, distinct classes of m⁶A regulators exhibit pronounced stage-specific functions and coordinated division of labor, collectively forming a multilayered and dynamic regulatory network. Writers often display dosage- and temporal window-dependent effects; erasers contribute to stage-specific demethylation and functional compensation; while readers function through a “switch-buffer” dual-layer architecture, and RNA-binding proteins (RBPs) participate in substrate selection and post-transcriptional regulation. Importantly, emerging evidence suggests that some m⁶A-related proteins can function through noncanonical mechanisms independent of m⁶A recognition, such as intrinsic RNA-binding activity, helicase function, or ribonucleoprotein complex assembly, thereby expanding the functional landscape of the m⁶A regulatory system. Dysregulation of m⁶A machinery can lead to multiple spermatogenic defects, including impaired SSC self-renewal, meiotic arrest, abnormal chromatin remodeling, and defective sperm formation, ultimately resulting in male infertility. Despite substantial advances, several critical questions remain unresolved, including the distinction between m⁶A-dependent and -independent mechanisms, the spatiotemporal dynamics of m⁶A modifications at single-cell resolution, and the coordination and antagonism among different regulatory factors. In this review, we systematically summarize the dual regulation of spermatogenesis by germ cell-intrinsic mechanisms and the testicular microenvironment, and delineate the molecular mechanisms and stage-specific functions of the dynamic m⁶A regulatory network. We further discuss the current limitations in the field and propose feasible experimental strategies for future investigation. Collectively, this work aims to provide a comprehensive framework for understanding the epitranscriptomic regulation of spermatogenesis and to offer theoretical insights into the pathogenesis and clinical management of male infertility.

Spermatogenesis is a highly ordered and spatiotemporally regulated developmental process in the male reproductive system, during which spermatogonial stem cells (SSCs), supported by the seminiferous tubule microenvironment, sequentially undergo mitosis, meiosis, and spermiogenesis to ultimately generate structurally intact spermatozoa. This complex process is accompanied by extensive transcriptional reprogramming, chromatin remodeling, and finely tuned post-transcriptional regulation. Precise control of RNA fate is therefore essential for maintaining the continuity and fidelity of spermatogenesis, and its disruption represents a major molecular basis of male infertility. N⁶-methyladenosine (m⁶A), the most abundant internal RNA modification in eukaryotes, has emerged as a critical regulator of post-transcriptional gene expression. m⁶A methyltransferases (“writers”) catalyze the addition of a methyl group to the N⁶ position of adenosine, m⁶A demethylases (“erasers”) remove the modification, and m⁶A-binding proteins (“readers”) recognize m⁶A-modified transcripts. Through the coordinated actions of these factors, m⁶A regulates transcript fate at multiple levels, including RNA splicing, nuclear export, stability, translation, and decay. Emerging evidence indicates that m⁶A-mediated regulation is essential across multiple stages of spermatogenesis, including SSC self-renewal and differentiation, meiotic progression, maintenance of chromosomal stability, and sperm morphogenesis. Beyond its intrinsic functions in germ cells, m⁶A also contributes to the regulation of the testicular microenvironment. In sertoli cells, m⁶A is involved in maintaining blood-testis barrier integrity, RNA processing, and paracrine signaling, thereby providing structural and metabolic support for germ cell development. In Leydig cells, m⁶A regulates steroidogenesis, particularly testosterone synthesis, and participates in cellular stress responses and metabolic homeostasis. Through these mechanisms, m⁶A indirectly influences spermatogenesis by modulating the functional state of testicular somatic cells, highlighting an integrated regulatory mode that combines cell-intrinsic and microenvironment-mediated effects. Notably, distinct classes of m⁶A regulators exhibit pronounced stage-specific functions and coordinated division of labor, collectively forming a multilayered and dynamic regulatory network. Writers often display dosage- and temporal window-dependent effects; erasers contribute to stage-specific demethylation and functional compensation; while readers function through a “switch-buffer” dual-layer architecture, and RNA-binding proteins (RBPs) participate in substrate selection and post-transcriptional regulation. Importantly, emerging evidence suggests that some m⁶A-related proteins can function through noncanonical mechanisms independent of m⁶A recognition, such as intrinsic RNA-binding activity, helicase function, or ribonucleoprotein complex assembly, thereby expanding the functional landscape of the m⁶A regulatory system. Dysregulation of m⁶A machinery can lead to multiple spermatogenic defects, including impaired SSC self-renewal, meiotic arrest, abnormal chromatin remodeling, and defective sperm formation, ultimately resulting in male infertility. Despite substantial advances, several critical questions remain unresolved, including the distinction between m⁶A-dependent and -independent mechanisms, the spatiotemporal dynamics of m⁶A modifications at single-cell resolution, and the coordination and antagonism among different regulatory factors. In this review, we systematically summarize the dual regulation of spermatogenesis by germ cell-intrinsic mechanisms and the testicular microenvironment, and delineate the molecular mechanisms and stage-specific functions of the dynamic m⁶A regulatory network. We further discuss the current limitations in the field and propose feasible experimental strategies for future investigation. Collectively, this work aims to provide a comprehensive framework for understanding the epitranscriptomic regulation of spermatogenesis and to offer theoretical insights into the pathogenesis and clinical management of male infertility.

AIM: To investigate the expression of serum growth differentiation factor 11(GDF11)and thrombospondin 1(TSP1)in patients with diabetic retinopathy(DR), and discuss their relationship with microvascular injury.METHODS: Totally 102 DR patients were served as DR group and assigned into non proliferative DR group(NPDR group)and proliferative DR group(PDR group)based on the severity of DR lesions. Meantime, 100 patients with simple diabetes were served as control group. Serum indicators of microvascular injury including vascular endothelial growth factor(VEGF), endothelial cells(ECs), endothelial progenitor cells(EPCs), and levels of GDF11 and TSP1 were measured in each group. Pearson method was used to discuss the correlation between GDF11, TSP1 and microvascular injury indicators. Logistic regression was used to discuss the factors that affected the occurrence of DR. Receiver operating characteristic(ROC)curve was applied to analyze the evaluation value of serum GDF11 and TSP1 for the DR conditions.RESULTS: For the control group, DR group had lower EPCs and GDF11, and higher VEGF, ECs, and TSP1 levels(all P<0.05). The PDR group had lower GDF11 and higher TSP1 than the NPDR group(all P<0.05). Serum GDF11 was negatively related to VEGF and ECs(r=-0.486, -0.511, all P<0.001), and positively related to EPCs(r=0.475, P<0.001). TSP1 was positively related to VEGF and ECs(r=0.579, 0.594, all P<0.001), and negatively related to EPCs(r=-0.505, P<0.001). Moreover, GDF11 and TSP1 were negatively correlated(r=-0.443, P<0.001). The course of T2DM, VEGF, and TSP1 were risk factors for DR, while GDF11 was a protective factor(all P<0.05). The AUC of GDF11, TSP1, and combined diagnosis for PDR conditions was 0.819, 0.822, and 0.915, respectively. The combined diagnosis was better than single diagnosis(Zcombination-GDF11=2.070, P=0.039, Zcombination-TSP1=2.274, P=0.023).CONCLUSION: GDF11 and TSP1 are closely associated with microvascular injury in DR patients and are related to the progression of DR disease, and the combined detection of their serum levels is of clinical value in the assessment of DR disease.

Gliomas, especially high-grade gliomas such as glioblastoma multiforme (GBM), are primary malignant tumors of the central nervous system, characterized by high proliferative capacity, invasiveness, and therapeutic resistance. The development of GBM relies heavily on continuous metabolic reprogramming to adapt to the unique intracranial microenvironment, with nicotinamide adenine dinucleotide (NAD⁺) metabolic remodeling playing a pivotal role. Dysregulation of NAD⁺ and its associated metabolic pathways sustains increased intracellular NAD⁺ levels, which drive the malignant proliferation and invasive potential of GBM, correlating with worsened patient prognosis. This review systematically summarizes the current research landscape of NAD⁺ metabolic remodeling in GBM, elucidates the mechanisms by which NAD⁺ contributes to GBM pathogenesis and progression, and explores the clinical potential of NAD⁺-targeted diagnostic and therapeutic strategies to provide novel insights and directions for the clinical management of GBM.

Objective: To explore the impact of household tobacco smoke exposure on adolescents attempted smoking behavior, so as to provide a reference for tobacco control policy formulation and evaluation. Methods: From September to November 2023, a stratified cluster random sampling method was employed to select 7 841 middle and high school students from 10 monitoring sites (districts/counties) in Beijing for a questionnaire survey. Rao-Scott Chi square test was used to assess differences in proportions across subgroups, and complex sampling design based multivariate Logistic regression analysis was conducted to explore the influence of parental smoking and secondhand smoke (SHS) exposure at home on adolescents attempted smoking behavior. Results: About 47.17% of adolescents reported to have at least one parent smoked, with 42.36% reported of having only the father smoked, 0.73% reported of having only the mother smoked, and 4.08% reported of having both parents smoked. About 34.66% of middle and high school students were reported SHS exposure at home in the past 7 days, with 10.98%, 4.79% and 18.89% reported SHS exposure for 1-2, 3-4 and 5-7 days. Compared to adolescents with non smoking parents, those with a smoking father or both smoking parents had higher rates of attempted smoking [ OR (95% CI )=1.45(1.06-1.98), 3.73(2.18-6.37), P < 0.05 ]. Compared to adolescents without SHS exposure at home in the past 7 days, those exposed for 3-4 or 5- 7 days had higher rates of attempted smoking [ OR (95% CI )=2.21(1.27- 3.84 ), 2.46(1.58-3.83), P <0.01]. Conclusions Household tobacco smoke exposure is associated with adolescent attempted smoking behavior. Parents should quit smoking and prohibit smoking at home to create a smoke free environment for adolescents.

Objective:To summarize the clinical manifestations of anti-synthetase syndrome (ASS) with interstitial lung disease (ILD) patients with different antibody subtypes and the skeletal muscle pathology of ASS.Methods:A total of 106 ASS-ILD patients admitted to the First Medical Center of Chinese People′s Liberation Army General Hospital from May 11, 2015 to June 25, 2023 were included. Their intramuscular and extramuscular clinical manifestations were collected. The correlation between different antibody subtypes in patients with ASS and the various subtypes of ILD was investigated. The skeletal muscle pathological characteristics of 13 ASS patients were also summarized.Results:Among the 106 ASS-ILD patients, 56 (52.8%) were anti-JO-1 antibody positive, 19 (17.9%) were anti-PL-7 antibody positive, 11 (10.4%) were anti-PL-12 antibody positive, 14 (13.2%) were anti-EJ antibody positive, and 6 (5.7%) were anti-OJ antibody positive. All the patients had ILD [including nonspecific interstitial pneumonia (NSIP), usual interstitial pneumonia (UIP), organizing pneumonia (OP), mixed pneumonia]. In all the patients, 46.2% (49/106) had cardiac damage, 37.7% (40/106) had arthritis, 29.2% (31/106) had myasthenia gravis, 24.5% (26/106) had myalgia, and 19.8% (21/106) had Raynaud′s phenomenon. The incidence of NSIP was 75.0% (42/56) in the anti-JO-1 antibody-positive group, significantly higher than other groups (anti-PL-7 antibody-positive group, 8/19;anti-PL-12 antibody-positive group, 3/11;anti-EJ antibody-positive group, 5/14;anti-OJ antibody-positive group, 2/6; P=0.001). UIP was most common in the anti-PL-7 antibody-positive group (8/19). OP was most frequent in the anti-PL-12 antibody-positive group (5/11). The incidence of arthritis was highest in the anti-JO-1 antibody-positive group (51.8%, 29/56). The anti-Ro-52 antibody-positive rate was significantly higher in the anti-EJ antibody-positive group (12/14) than in the other 4 groups [anti-JO-1 antibody-positive group, 33.9% (19/56); anti-PL-7 antibody-positive group, 10/19; anti-PL-12 antibody-positive group, 6/11; anti-OJ antibody-positive group, 0/6; P=0.001]. ASS skeletal muscle pathology was manifested as necrotizing myopathy pattern (6/13), inflammatory myopathy pattern (4/13), and nonspecific myopathy pattern (3/13). All the 106 patients received methylprednisolone as the basic treatment. Among them, 69 patients (65.1%) received methylprednisolone alone, while 37 patients (34.9%) received combination therapy involving immunosuppressants, whose symptoms improved after treatment. Conclusions:A discernible correlation exists between the clinical manifestations of ASS with ILD and specific antibody subtypes. ASS patients generally respond well to immunotherapy. ASS can manifest as 3 distinct skeletal muscle pathological patterns: necrotizing myopathy pattern, inflammatory myopathy pattern, and nonspecific myopathy pattern.

To retrospectively analyze the clinical data of 465 newly diagnosed patients with multiple myeloma (NDMM) admitted to the First Affiliated Hospital of Nanjing Medical University from December 2016 to December 2024, and compare the prognostic value of high-risk cytogenetic abnormalities (HRCAs) in NDMM patients under mSMART 3.0 and mSMART 4.0 risk stratification systems. The results showed that in both stratification systems, the prognosis of high-risk patients was worse than that of standard-risk patients. Moreover, a higher number of HRCAs was associated with a worse prognosis. The mSMART 4.0 system, which considers the coexistence of various cytogenetic abnormalities, provides a more precise definition of HRCA than mSMART 3.0. It demonstrates a superior ability to differentiate between different categories of cytogenetic risk.

Objective:To explore the incidence, clinical features, genetic variant characteristics and prognosis of Glutaric acidemia type I (GA1) among neonates from Henan Province.Methods:A total of 814 625 neonates undergoing screening for inherited metabolic diseases by tandem mass spectrometry (MS/MS) at the Third Affiliated Hospital of Zhengzhou University from January 2016 to December 2022 were selected as the study subjects. A retrospective method was adopted to collect the clinical data of the patients. Whole exome sequencing was carried out to detect GCDH gene variants in individuals with positive results by GA1 newborn screening, and Sanger sequencing was used to verify the candidate variants. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the pathogenicity of candidate variants was rated. This study was approved by the Medical Ethics Committee of the Hospital (Approval Number: 2019 Medical Ethics Review No. 67). Results:Eight cases of GA1 were diagnosed among the 814 625 neonates. Blood glutaryl carnitine (C5DC) and urine glutaric acid (GA) levels of the 8 children were higher than the normal reference values. In total 12 variants were detected, all of which were missense variants. c. 1064G>A (p.Arg355His) was the most common one, accounting for 21.4% (3/14). Three GCDH gene variants, including 1297G>C (p.Ala433Pro), c. 467G>A (p.Gly156Asp) and c. 1125T>G (p.Cys375Trp), were previously unreported. REVEL software analysis predicted that all of the three variants were harmful. 3D protein structure modeling indicated that the three variants may cause amino acid residue alterations, and c. 1297G>C (p.Ala433Pro) and c. 1125T>G (p.Cys375Trp) may result in increase in hydrogen bonds and may affect the function of GCDH protein. By December 2023, one of the eight children had deceased, and another child had severe clinical symptoms with poor prognosis. Six children had a good prognosis, of which two had mild motor development delay and four had normal development without clinical symptoms. Conclusion:The incidence of GA1 in newborns screened by MS/MS in Henan Province is 1/101 828, and the carrier rate of pathogenic GCDH variants is 1/160. The c. 1064G>A (p.Arg355His) may be the hotspot variant of the GCDH gene among children with GA1 in Henan. Discovery of the three novel variants has enriched the mutational spectrum of the GCDH gene and provide a basis for the early diagnosis, treatment, prognosis and genetic counseling of this disease.